建立及管理處理器

必須先建立處理器執行個體，才能傳送要處理的文件。本頁提供了建立及管理處理器的詳細資料。

可用的處理器

如要使用 API 建立處理器執行個體，您必須知道每種處理器類型的名稱。請動態取得這份清單 (使用下列程式碼)，因為您的存取權可能會變更。

公開發布的處理器類型如下：

數位化處理器

• OCR_PROCESSOR
• FORM_PARSER_PROCESSOR
• LAYOUT_PARSER_PROCESSOR

預先訓練的處理器

• BANK_STATEMENT_PROCESSOR
• EXPENSE_PROCESSOR
• FORM_W2_PROCESSOR
• ID_PROOFING_PROCESSOR
• INVOICE_PROCESSOR
• PAYSTUB_PROCESSOR
• US_DRIVER_LICENSE_PROCESSOR
• US_PASSPORT_PROCESSOR
• UTILITY_PROCESSOR

擷取 / 分類 / 分割處理器

• CUSTOM_EXTRACTION_PROCESSOR
• CUSTOM_CLASSIFICATION_PROCESSOR
• CUSTOM_SPLITTING_PROCESSOR
• SUMMARIZER_PROCESSOR

列出處理器類型

網路使用者介面

1. 在 Google Cloud 控制台，依序前往「Document AI」專區和「Processor Gallery」頁面。

   前往處理器庫

2. 查看或搜尋處理器類型清單。

   注意： 部分處理器有存取限制。如果處理器受到存取限制，您必須要求存取權並獲得核准，才能建立處理器。

REST

這個範例說明如何使用 fetchProcessorTypes 方法，列出專案的可用處理器類型。

使用任何要求資料之前，請先替換以下項目：

• LOCATION：處理器的位置，例如：
  • us - 美國
  • eu - 歐盟
• PROJECT_ID：您的 Google Cloud 專案 ID。

HTTP 方法和網址：

GET https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION:fetchProcessorTypes

如要傳送要求，請選擇以下其中一個選項：

curl

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI，或使用 Cloud Shell，自動登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION:fetchProcessorTypes"

PowerShell

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION:fetchProcessorTypes" | Select-Object -Expand Content

回應是 ProcessorType 清單，顯示可用的處理器類型，以及類別和可用位置。

{
  "processorTypes": [
  [
    ...
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processorTypes/FORM_PARSER_PROCESSOR",
      "type": "FORM_PARSER_PROCESSOR",
      "category": "GENERAL",
      "availableLocations": [
        {
          "locationId": "eu"
        },
        {
          "locationId": "us"
        }
      ],
      "allowCreation": true,
      "launchStage": "GA"
    },
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processorTypes/OCR_PROCESSOR",
      "type": "OCR_PROCESSOR",
      "category": "GENERAL",
      "availableLocations": [
        {
          "locationId": "eu"
        },
        {
          "locationId": "us"
        }
      ],
      "allowCreation": true,
      "launchStage": "GA"
    },
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processorTypes/INVOICE_PROCESSOR",
      "type": "INVOICE_PROCESSOR",
      "category": "SPECIALIZED",
      "availableLocations": [
        {
          "locationId": "eu"
        },
        {
          "locationId": "us"
        }
      ],
      "allowCreation": true,
      "launchStage": "GA"
    },
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processorTypes/US_DRIVER_LICENSE_PROCESSOR",
      "type": "US_DRIVER_LICENSE_PROCESSOR",
      "category": "SPECIALIZED",
      "availableLocations": [
        {
          "locationId": "us"
        },
        {
          "locationId": "eu"
        }
      ],
      "allowCreation": true,
      "launchStage": "GA"
    },
    ...
  ]
}

Python

詳情請參閱 Document AI Python API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

from google.api_core.client_options import ClientOptions
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'


def fetch_processor_types_sample(project_id: str, location: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the location
    # e.g.: projects/project_id/locations/location
    parent = client.common_location_path(project_id, location)

    # Fetch all processor types
    response = client.fetch_processor_types(parent=parent)

    print("Processor types:")
    # Print the available processor types
    for processor_type in response.processor_types:
        if processor_type.allow_creation:
            print(processor_type.type_)

Go

詳情請參閱 Document AI Go API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.FetchProcessorTypesRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#FetchProcessorTypesRequest.
	}
	resp, err := c.FetchProcessorTypes(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

Java

詳情請參閱 Document AI Java API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.FetchProcessorTypesRequest;
import com.google.cloud.documentai.v1.FetchProcessorTypesResponse;
import com.google.cloud.documentai.v1.LocationName;

public class SyncFetchProcessorTypes {

  public static void main(String[] args) throws Exception {
    syncFetchProcessorTypes();
  }

  public static void syncFetchProcessorTypes() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      FetchProcessorTypesRequest request =
          FetchProcessorTypesRequest.newBuilder()
              .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
              .build();
      FetchProcessorTypesResponse response =
          documentProcessorServiceClient.fetchProcessorTypes(request);
    }
  }
}

Ruby

詳情請參閱 Document AI Ruby API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

require "google/cloud/document_ai/v1"

##
# Snippet for the fetch_processor_types call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#fetch_processor_types.
#
def fetch_processor_types
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::FetchProcessorTypesRequest.new

  # Call the fetch_processor_types method.
  result = client.fetch_processor_types request

  # The returned object is of type Google::Cloud::DocumentAI::V1::FetchProcessorTypesResponse.
  p result
end

C#

詳情請參閱 Document AI C# API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

using Google.Api.Gax.ResourceNames;
using Google.Cloud.DocumentAI.V1;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for FetchProcessorTypes</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void FetchProcessorTypesRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        FetchProcessorTypesRequest request = new FetchProcessorTypesRequest
        {
            ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
        };
        // Make the request
        FetchProcessorTypesResponse response = documentProcessorServiceClient.FetchProcessorTypes(request);
    }
}

建立處理器

網路使用者介面

1. 在 Google Cloud 控制台，依序前往「Document AI」專區和「Processor Gallery」頁面。

   前往處理器庫

2. 查看或搜尋處理器庫，找出要建立的處理器。

3. 從清單中點選要建立的處理器類型。

   注意： 部分處理器有存取限制。如果處理器受到存取限制，您必須要求存取權，並獲得核准才能建立處理器。

4. 在側邊的「Create processor」(建立處理器) 視窗中，指定處理器名稱。

5. 從清單中選取「區域」。

6. 點按「建立」即可建立處理器。

   系統會將您帶往處理器的「總覽」分頁，其中包含「名稱」、「ID」、「類型」和「預測端點」等資訊。使用這個端點傳送要求。

REST

這個範例說明如何使用 processors.create 方法建立新的 processor。

使用任何要求資料之前，請先替換以下項目：

• LOCATION：處理器的位置，例如：
  • us - 美國
  • eu - 歐盟
• PROJECT_ID：您的 Google Cloud 專案 ID。
• PROCESSOR_TYPE：處理器類型，例如：
  • OCR_PROCESSOR
  • FORM_PARSER_PROCESSOR
  • INVOICE_PROCESSOR
  • US_DRIVER_LICENSE_PROCESSOR
• DISPLAY_NAME：處理器的顯示名稱。

HTTP 方法和網址：

POST https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors

JSON 要求主體：

{
  "type": "PROCESSOR_TYPE",
  "displayName": "DISPLAY_NAME"
}

如要傳送要求，請選擇以下其中一個選項：

curl

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI，或使用 Cloud Shell，自動登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

將要求主體儲存在名為 request.json 的檔案中，然後執行下列指令：

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors"

PowerShell

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

將要求主體儲存在名為 request.json 的檔案中，然後執行下列指令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors" | Select-Object -Expand Content

如果要求成功，伺服器會傳回 200 OK HTTP 狀態碼與 JSON 格式的回應。回應會包含新建立的處理器相關資訊，例如 processEndpoint 和完整處理器名稱。 這兩個字串都包含傳送要求所需的專屬處理器 ID (例如 aa22ec60216f6ccc)。

{
  "name": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID",
  "type": "PROCESSOR_TYPE",
  "displayName": "DISPLAY_NAME",
  "state": "ENABLED",
  "processEndpoint": "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:process",
  "createTime": "2022-03-02T22:50:31.395849Z",
  "defaultProcessorVersion": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID/processorVersions/pretrained"
}

Python

詳情請參閱 Document AI Python API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

from google.api_core.client_options import ClientOptions
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'
# processor_display_name = 'YOUR_PROCESSOR_DISPLAY_NAME' # Must be unique per project, e.g.: 'My Processor'
# processor_type = 'YOUR_PROCESSOR_TYPE' # Use fetch_processor_types to get available processor types


def create_processor_sample(
    project_id: str, location: str, processor_display_name: str, processor_type: str
) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the location
    # e.g.: projects/project_id/locations/location
    parent = client.common_location_path(project_id, location)

    # Create a processor
    processor = client.create_processor(
        parent=parent,
        processor=documentai.Processor(
            display_name=processor_display_name, type_=processor_type
        ),
    )

    # Print the processor information
    print(f"Processor Name: {processor.name}")
    print(f"Processor Display Name: {processor.display_name}")
    print(f"Processor Type: {processor.type_}")

Go

詳情請參閱 Document AI Go API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.CreateProcessorRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#CreateProcessorRequest.
	}
	resp, err := c.CreateProcessor(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

Java

詳情請參閱 Document AI Java API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

import com.google.cloud.documentai.v1.CreateProcessorRequest;
import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.LocationName;
import com.google.cloud.documentai.v1.Processor;

public class SyncCreateProcessor {

  public static void main(String[] args) throws Exception {
    syncCreateProcessor();
  }

  public static void syncCreateProcessor() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      CreateProcessorRequest request =
          CreateProcessorRequest.newBuilder()
              .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
              .setProcessor(Processor.newBuilder().build())
              .build();
      Processor response = documentProcessorServiceClient.createProcessor(request);
    }
  }
}

Ruby

詳情請參閱 Document AI Ruby API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

require "google/cloud/document_ai/v1"

##
# Snippet for the create_processor call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#create_processor.
#
def create_processor
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::CreateProcessorRequest.new

  # Call the create_processor method.
  result = client.create_processor request

  # The returned object is of type Google::Cloud::DocumentAI::V1::Processor.
  p result
end

C#

詳情請參閱 Document AI C# API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

using Google.Api.Gax.ResourceNames;
using Google.Cloud.DocumentAI.V1;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for CreateProcessor</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void CreateProcessorRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        CreateProcessorRequest request = new CreateProcessorRequest
        {
            ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
            Processor = new Processor(),
        };
        // Make the request
        Processor response = documentProcessorServiceClient.CreateProcessor(request);
    }
}

取得處理器清單

網路使用者介面

1. 在 Google Cloud 控制台，依序前往「Document AI」專區和「Processors」頁面。

   前往「處理器」頁面

   「處理器」頁面會列出所有處理器，以及其「名稱」、「狀態」、「區域」和「類型」。

REST

這個範例說明如何使用 processors.list 方法列出現有的 processors。

使用任何要求資料之前，請先替換以下項目：

• LOCATION：處理器的位置，例如：
  • us - 美國
  • eu - 歐盟
• PROJECT_ID：您的 Google Cloud 專案 ID。

HTTP 方法和網址：

GET https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors

如要傳送要求，請選擇以下其中一個選項：

curl

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI，或使用 Cloud Shell，自動登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors"

PowerShell

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors" | Select-Object -Expand Content

回應是 Processors 清單，其中包含每個處理器的相關資訊，例如 name、type、state 和其他詳細資料。

{
  "processors": [
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID",
      "type": "FORM_PARSER_PROCESSOR",
      "displayName": "DISPLAY_NAME",
      "state": "ENABLED",
      "processEndpoint": "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:process",
      "createTime": "2022-03-02T22:33:54.938593Z",
      "defaultProcessorVersion": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID/processorVersions/pretrained"
    }
  ]
}

Python

詳情請參閱 Document AI Python API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

from google.api_core.client_options import ClientOptions
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'


def list_processors_sample(project_id: str, location: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the location
    # e.g.: projects/project_id/locations/location
    parent = client.common_location_path(project_id, location)

    # Make ListProcessors request
    processor_list = client.list_processors(parent=parent)

    # Print the processor information
    for processor in processor_list:
        print(f"Processor Name: {processor.name}")
        print(f"Processor Display Name: {processor.display_name}")
        print(f"Processor Type: {processor.type_}")
        print("")

Go

詳情請參閱 Document AI Go API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
	"google.golang.org/api/iterator"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.ListProcessorsRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#ListProcessorsRequest.
	}
	it := c.ListProcessors(ctx, req)
	for {
		resp, err := it.Next()
		if err == iterator.Done {
			break
		}
		if err != nil {
			// TODO: Handle error.
		}
		// TODO: Use resp.
		_ = resp

		// If you need to access the underlying RPC response,
		// you can do so by casting the `Response` as below.
		// Otherwise, remove this line. Only populated after
		// first call to Next(). Not safe for concurrent access.
		_ = it.Response.(*documentaipb.ListProcessorsResponse)
	}
}

Java

詳情請參閱 Document AI Java API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.ListProcessorsRequest;
import com.google.cloud.documentai.v1.LocationName;
import com.google.cloud.documentai.v1.Processor;

public class SyncListProcessors {

  public static void main(String[] args) throws Exception {
    syncListProcessors();
  }

  public static void syncListProcessors() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      ListProcessorsRequest request =
          ListProcessorsRequest.newBuilder()
              .setParent(LocationName.of("[PROJECT]", "[LOCATION]").toString())
              .setPageSize(883849137)
              .setPageToken("pageToken873572522")
              .build();
      for (Processor element :
          documentProcessorServiceClient.listProcessors(request).iterateAll()) {
        // doThingsWith(element);
      }
    }
  }
}

Ruby

詳情請參閱 Document AI Ruby API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

require "google/cloud/document_ai/v1"

##
# Snippet for the list_processors call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#list_processors.
#
def list_processors
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::ListProcessorsRequest.new

  # Call the list_processors method.
  result = client.list_processors request

  # The returned object is of type Gapic::PagedEnumerable. You can iterate
  # over elements, and API calls will be issued to fetch pages as needed.
  result.each do |item|
    # Each element is of type ::Google::Cloud::DocumentAI::V1::Processor.
    p item
  end
end

C#

詳情請參閱 Document AI C# API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

using Google.Api.Gax;
using Google.Api.Gax.ResourceNames;
using Google.Cloud.DocumentAI.V1;
using System;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for ListProcessors</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void ListProcessorsRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        ListProcessorsRequest request = new ListProcessorsRequest
        {
            ParentAsLocationName = LocationName.FromProjectLocation("[PROJECT]", "[LOCATION]"),
        };
        // Make the request
        PagedEnumerable<ListProcessorsResponse, Processor> response = documentProcessorServiceClient.ListProcessors(request);

        // Iterate over all response items, lazily performing RPCs as required
        foreach (Processor item in response)
        {
            // Do something with each item
            Console.WriteLine(item);
        }

        // Or iterate over pages (of server-defined size), performing one RPC per page
        foreach (ListProcessorsResponse page in response.AsRawResponses())
        {
            // Do something with each page of items
            Console.WriteLine("A page of results:");
            foreach (Processor item in page)
            {
                // Do something with each item
                Console.WriteLine(item);
            }
        }

        // Or retrieve a single page of known size (unless it's the final page), performing as many RPCs as required
        int pageSize = 10;
        Page<Processor> singlePage = response.ReadPage(pageSize);
        // Do something with the page of items
        Console.WriteLine($"A page of {pageSize} results (unless it's the final page):");
        foreach (Processor item in singlePage)
        {
            // Do something with each item
            Console.WriteLine(item);
        }
        // Store the pageToken, for when the next page is required.
        string nextPageToken = singlePage.NextPageToken;
    }
}

查看處理器的詳細資料

網路使用者介面

1. 在 Google Cloud 控制台，依序前往「Document AI」專區和「Processors」頁面。

   前往「處理器」頁面

2. 在處理器清單中，按一下要查看詳細資料的處理器名稱。

   系統會將您帶往處理器的「總覽」分頁，其中包含「名稱」、「ID」、「類型」和「預測端點」等資訊。

REST

本範例說明如何使用 processors.get 方法，取得現有 Processor 的詳細資料。

使用任何要求資料之前，請先替換以下項目：

• LOCATION：處理器的位置，例如：
  • us - 美國
  • eu - 歐盟
• PROJECT_ID：您的 Google Cloud 專案 ID。
• PROCESSOR_ID：自訂處理器的 ID。

HTTP 方法和網址：

GET https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID

如要傳送要求，請選擇以下其中一個選項：

curl

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI，或使用 Cloud Shell，自動登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

curl -X GET \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID"

PowerShell

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method GET `
    -Headers $headers `
    -Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID" | Select-Object -Expand Content

回應是 Processor，其中包含處理器的相關資訊，例如 name、type、state 和其他詳細資料。

{
  "processors": [
    {
      "name": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID",
      "type": "OCR_PROCESSOR",
      "displayName": "DISPLAY_NAME",
      "state": "ENABLED",
      "processEndpoint": "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:process",
      "createTime": "2022-03-02T22:33:54.938593Z",
      "defaultProcessorVersion": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID/processorVersions/pretrained"
    }
  ]
}

Python

詳情請參閱 Document AI Python API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

from google.api_core.client_options import ClientOptions
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'
# processor_id = 'YOUR_PROCESSOR_ID'


def get_processor_sample(project_id: str, location: str, processor_id: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the processor, e.g.:
    # projects/{project_id}/locations/{location}/processors/{processor_id}
    name = client.processor_path(project_id, location, processor_id)

    # Make GetProcessor request
    processor = client.get_processor(name=name)

    # Print the processor information
    print(f"Processor Name: {processor.name}")
    print(f"Processor Display Name: {processor.display_name}")
    print(f"Processor Type: {processor.type_}")

Go

詳情請參閱 Document AI Go API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.GetProcessorRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#GetProcessorRequest.
	}
	resp, err := c.GetProcessor(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

Java

詳情請參閱 Document AI Java API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.GetProcessorRequest;
import com.google.cloud.documentai.v1.Processor;
import com.google.cloud.documentai.v1.ProcessorName;

public class SyncGetProcessor {

  public static void main(String[] args) throws Exception {
    syncGetProcessor();
  }

  public static void syncGetProcessor() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      GetProcessorRequest request =
          GetProcessorRequest.newBuilder()
              .setName(ProcessorName.of("[PROJECT]", "[LOCATION]", "[PROCESSOR]").toString())
              .build();
      Processor response = documentProcessorServiceClient.getProcessor(request);
    }
  }
}

Ruby

詳情請參閱 Document AI Ruby API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

require "google/cloud/document_ai/v1"

##
# Snippet for the get_processor call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#get_processor.
#
def get_processor
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::GetProcessorRequest.new

  # Call the get_processor method.
  result = client.get_processor request

  # The returned object is of type Google::Cloud::DocumentAI::V1::Processor.
  p result
end

C#

詳情請參閱 Document AI C# API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

using Google.Cloud.DocumentAI.V1;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for GetProcessor</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void GetProcessorRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        GetProcessorRequest request = new GetProcessorRequest
        {
            ProcessorName = ProcessorName.FromProjectLocationProcessor("[PROJECT]", "[LOCATION]", "[PROCESSOR]"),
        };
        // Make the request
        Processor response = documentProcessorServiceClient.GetProcessor(request);
    }
}

啟用處理器

網路使用者介面

1. 在 Google Cloud 控制台，依序前往「Document AI」專區和「Processors」頁面。

   前往「處理器」頁面

2. 在處理器旁邊的「動作選單」 中，按一下「啟用處理器」。

REST

這個範例說明如何使用 processors.enable 方法啟用現有的 Processor。

使用任何要求資料之前，請先替換以下項目：

• LOCATION：處理器的位置，例如：
  • us - 美國
  • eu - 歐盟
• PROJECT_ID：您的 Google Cloud 專案 ID。
• PROCESSOR_ID：自訂處理器的 ID。

HTTP 方法和網址：

POST https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:enable

如要傳送要求，請選擇以下其中一個選項：

curl

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI，或使用 Cloud Shell，自動登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d "" \
     "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:enable"

PowerShell

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:enable" | Select-Object -Expand Content

回應是長時間執行的作業

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.documentai.v1.EnableProcessorMetadata",
    "commonMetadata": {
      "state": "RUNNING",
      "createTime": "2022-03-02T22:52:49.957096Z",
      "updateTime": "2022-03-02T22:52:50.175976Z",
      "resource": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID"
    }
  }
}

1. 如要輪詢長時間執行的作業，請呼叫 operations.get：

     curl -X GET https://documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/operations/OPERATION \
          -H "Authorization: Bearer "$(gcloud auth print-access-token) \
          -H "X-Goog-User-Project: PROJECT_ID"

2. 回應中的 EnableProcessorMetadata 表示作業狀態：

   {
     "name": "projects/<project_id>/locations/<location>/operations/<operation>",
     "metadata": {
       "@type": "type.googleapis.com/google.cloud.documentai.v1.EnableProcessorMetadata",
       "commonMetadata": {
         "state": "SUCCEEDED",
         "createTime": "2022-03-02T22:52:49.957096Z",
         "updateTime": "2022-03-02T22:52:50.175976Z",
         "resource": "projects/<project_id>/locations/<location>/processors/<processor_id>"
       }
     },
     "done": true,
     "response": {
       "@type": "type.googleapis.com/google.cloud.documentai.v1.EnableProcessorResponse"
     }
   }
   

Python

詳情請參閱 Document AI Python API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

from google.api_core.client_options import ClientOptions
from google.api_core.exceptions import FailedPrecondition
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'
# processor_id = 'YOUR_PROCESSOR_ID'


def enable_processor_sample(project_id: str, location: str, processor_id: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the location
    # e.g.: projects/project_id/locations/location/processors/processor_id
    processor_name = client.processor_path(project_id, location, processor_id)
    request = documentai.EnableProcessorRequest(name=processor_name)

    # Make EnableProcessor request
    try:
        operation = client.enable_processor(request=request)

        # Print operation name
        print(operation.operation.name)
        # Wait for operation to complete
        operation.result()
    # Cannot enable a processor that is already enabled
    except FailedPrecondition as e:
        print(e.message)

Go

詳情請參閱 Document AI Go API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.EnableProcessorRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#EnableProcessorRequest.
	}
	op, err := c.EnableProcessor(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	resp, err := op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

Java

詳情請參閱 Document AI Java API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.EnableProcessorRequest;
import com.google.cloud.documentai.v1.EnableProcessorResponse;
import com.google.cloud.documentai.v1.ProcessorName;

public class SyncEnableProcessor {

  public static void main(String[] args) throws Exception {
    syncEnableProcessor();
  }

  public static void syncEnableProcessor() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      EnableProcessorRequest request =
          EnableProcessorRequest.newBuilder()
              .setName(ProcessorName.of("[PROJECT]", "[LOCATION]", "[PROCESSOR]").toString())
              .build();
      EnableProcessorResponse response =
          documentProcessorServiceClient.enableProcessorAsync(request).get();
    }
  }
}

Ruby

詳情請參閱 Document AI Ruby API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

require "google/cloud/document_ai/v1"

##
# Snippet for the enable_processor call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#enable_processor.
#
def enable_processor
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::EnableProcessorRequest.new

  # Call the enable_processor method.
  result = client.enable_processor request

  # The returned object is of type Gapic::Operation. You can use it to
  # check the status of an operation, cancel it, or wait for results.
  # Here is how to wait for a response.
  result.wait_until_done! timeout: 60
  if result.response?
    p result.response
  else
    puts "No response received."
  end
end

C#

詳情請參閱 Document AI C# API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

using Google.Cloud.DocumentAI.V1;
using Google.LongRunning;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for EnableProcessor</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void EnableProcessorRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        EnableProcessorRequest request = new EnableProcessorRequest
        {
            ProcessorName = ProcessorName.FromProjectLocationProcessor("[PROJECT]", "[LOCATION]", "[PROCESSOR]"),
        };
        // Make the request
        Operation<EnableProcessorResponse, EnableProcessorMetadata> response = documentProcessorServiceClient.EnableProcessor(request);

        // Poll until the returned long-running operation is complete
        Operation<EnableProcessorResponse, EnableProcessorMetadata> completedResponse = response.PollUntilCompleted();
        // Retrieve the operation result
        EnableProcessorResponse result = completedResponse.Result;

        // Or get the name of the operation
        string operationName = response.Name;
        // This name can be stored, then the long-running operation retrieved later by name
        Operation<EnableProcessorResponse, EnableProcessorMetadata> retrievedResponse = documentProcessorServiceClient.PollOnceEnableProcessor(operationName);
        // Check if the retrieved long-running operation has completed
        if (retrievedResponse.IsCompleted)
        {
            // If it has completed, then access the result
            EnableProcessorResponse retrievedResult = retrievedResponse.Result;
        }
    }
}

停用處理器

注意： 已停用的處理器會計入已建立處理器的配額。

網路使用者介面

1. 在 Google Cloud 控制台，依序前往「Document AI」專區和「Processors」頁面。

   前往「處理器」頁面

   1. 在「動作選單」 中，按一下處理器旁邊的「停用處理器」。

REST

這個範例說明如何使用 processors.disable 方法停用現有的 Processor。

使用任何要求資料之前，請先替換以下項目：

• LOCATION：處理器的位置，例如：
  • us - 美國
  • eu - 歐盟
• PROJECT_ID：您的 Google Cloud 專案 ID。
• PROCESSOR_ID：自訂處理器的 ID。

HTTP 方法和網址：

POST https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:disable

如要傳送要求，請選擇以下其中一個選項：

curl

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI，或使用 Cloud Shell，自動登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d "" \
     "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:disable"

PowerShell

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID:disable" | Select-Object -Expand Content

回應是長時間執行的作業

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.documentai.v1.DisableProcessorMetadata",
    "commonMetadata": {
      "state": "RUNNING",
      "createTime": "2022-03-02T22:52:49.957096Z",
      "updateTime": "2022-03-02T22:52:50.175976Z",
      "resource": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID"
    }
  }
}

1. 如要輪詢長時間執行的作業，請呼叫 operations.get：

     curl -X GET https://documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/operations/OPERATION \
          -H "Authorization: Bearer "$(gcloud auth print-access-token) \
          -H "X-Goog-User-Project: PROJECT_ID"

   1. 回應中的 DisableProcessorMetadata 表示作業狀態：

      {
        "name": "projects/<project_id>/locations/<location>/operations/<operation>",
        "metadata": {
          "@type": "type.googleapis.com/google.cloud.documentai.v1.DisableProcessorMetadata",
          "commonMetadata": {
            "state": "SUCCEEDED",
            "createTime": "2022-03-02T22:52:49.957096Z",
            "updateTime": "2022-03-02T22:52:50.175976Z",
            "resource": "projects/<project_id>/locations/<location>/processors/<processor_id>"
          }
        },
        "done": true,
        "response": {
          "@type": "type.googleapis.com/google.cloud.documentai.v1.DisableProcessorResponse"
        }
      }
      

Python

詳情請參閱 Document AI Python API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

from google.api_core.client_options import ClientOptions
from google.api_core.exceptions import FailedPrecondition
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'
# processor_id = 'YOUR_PROCESSOR_ID'


def disable_processor_sample(project_id: str, location: str, processor_id: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the processor
    # e.g.: projects/project_id/locations/location/processors/processor_id
    processor_name = client.processor_path(project_id, location, processor_id)
    request = documentai.DisableProcessorRequest(name=processor_name)

    # Make DisableProcessor request
    try:
        operation = client.disable_processor(request=request)

        # Print operation name
        print(operation.operation.name)
        # Wait for operation to complete
        operation.result()
    # Cannot disable a processor that is already disabled
    except FailedPrecondition as e:
        print(e.message)

Go

詳情請參閱 Document AI Go API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.DisableProcessorRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#DisableProcessorRequest.
	}
	op, err := c.DisableProcessor(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	resp, err := op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	// TODO: Use resp.
	_ = resp
}

Java

詳情請參閱 Document AI Java API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

import com.google.cloud.documentai.v1.DisableProcessorRequest;
import com.google.cloud.documentai.v1.DisableProcessorResponse;
import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.ProcessorName;

public class SyncDisableProcessor {

  public static void main(String[] args) throws Exception {
    syncDisableProcessor();
  }

  public static void syncDisableProcessor() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      DisableProcessorRequest request =
          DisableProcessorRequest.newBuilder()
              .setName(ProcessorName.of("[PROJECT]", "[LOCATION]", "[PROCESSOR]").toString())
              .build();
      DisableProcessorResponse response =
          documentProcessorServiceClient.disableProcessorAsync(request).get();
    }
  }
}

Ruby

詳情請參閱 Document AI Ruby API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

require "google/cloud/document_ai/v1"

##
# Snippet for the disable_processor call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#disable_processor.
#
def disable_processor
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::DisableProcessorRequest.new

  # Call the disable_processor method.
  result = client.disable_processor request

  # The returned object is of type Gapic::Operation. You can use it to
  # check the status of an operation, cancel it, or wait for results.
  # Here is how to wait for a response.
  result.wait_until_done! timeout: 60
  if result.response?
    p result.response
  else
    puts "No response received."
  end
end

C#

詳情請參閱 Document AI C# API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

using Google.Cloud.DocumentAI.V1;
using Google.LongRunning;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for DisableProcessor</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void DisableProcessorRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        DisableProcessorRequest request = new DisableProcessorRequest
        {
            ProcessorName = ProcessorName.FromProjectLocationProcessor("[PROJECT]", "[LOCATION]", "[PROCESSOR]"),
        };
        // Make the request
        Operation<DisableProcessorResponse, DisableProcessorMetadata> response = documentProcessorServiceClient.DisableProcessor(request);

        // Poll until the returned long-running operation is complete
        Operation<DisableProcessorResponse, DisableProcessorMetadata> completedResponse = response.PollUntilCompleted();
        // Retrieve the operation result
        DisableProcessorResponse result = completedResponse.Result;

        // Or get the name of the operation
        string operationName = response.Name;
        // This name can be stored, then the long-running operation retrieved later by name
        Operation<DisableProcessorResponse, DisableProcessorMetadata> retrievedResponse = documentProcessorServiceClient.PollOnceDisableProcessor(operationName);
        // Check if the retrieved long-running operation has completed
        if (retrievedResponse.IsCompleted)
        {
            // If it has completed, then access the result
            DisableProcessorResponse retrievedResult = retrievedResponse.Result;
        }
    }
}

刪除處理器

網路使用者介面

1. 在 Google Cloud 控制台，依序前往「Document AI」專區和「Processors」頁面。

   前往「處理器」頁面

   1. 在處理器旁邊的「動作」選單 中，按一下「刪除處理器」。

REST

這個範例說明如何使用 processors.delete 方法刪除現有的 Processor。

使用任何要求資料之前，請先替換以下項目：

• LOCATION：處理器的位置，例如：
  • us - 美國
  • eu - 歐盟
• PROJECT_ID：您的 Google Cloud 專案 ID。
• PROCESSOR_ID：自訂處理器的 ID。

HTTP 方法和網址：

DELETE https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID

如要傳送要求，請選擇以下其中一個選項：

curl

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI，或使用 Cloud Shell，自動登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

curl -X DELETE \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID"

PowerShell

注意： 下列指令假設您已執行 gcloud init 或 gcloud auth login，透過使用者帳戶登入 gcloud CLI。 您可以執行 gcloud auth list 查看目前有效的帳戶。

執行下列指令：

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method DELETE `
    -Headers $headers `
    -Uri "https://LOCATION-documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID" | Select-Object -Expand Content

回應是長時間執行的作業

{
  "name": "projects/PROJECT_ID/locations/LOCATION/operations/OPERATION",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.documentai.v1.DeleteProcessorMetadata",
    "commonMetadata": {
      "state": "RUNNING",
      "createTime": "2022-03-02T22:52:49.957096Z",
      "updateTime": "2022-03-02T22:52:50.175976Z",
      "resource": "projects/PROJECT_ID/locations/LOCATION/processors/PROCESSOR_ID"
    }
  }
}

1. 如要輪詢長時間執行的作業，請呼叫 operations.get：

     curl -X GET https://documentai.googleapis.com/v1/projects/PROJECT_ID/locations/LOCATION/operations/OPERATION \
          -H "Authorization: Bearer "$(gcloud auth print-access-token) \
          -H "X-Goog-User-Project: PROJECT_ID"

2. 回應中的 DeleteProcessorMetadata 表示作業狀態：

     {
       "name": "projects/<project_id>/locations/<location>/operations/<operation>",
       "metadata": {
         "@type": "type.googleapis.com/google.cloud.documentai.v1.DeleteProcessorMetadata",
         "commonMetadata": {
           "state": "SUCCEEDED",
           "createTime": "2022-03-02T22:52:49.957096Z",
           "updateTime": "2022-03-02T22:52:50.175976Z",
           "resource": "projects/<project_id>/locations/<location>/processors/<processor_id>"
         }
       },
       "done": true,
       "response": {
         "@type": "type.googleapis.com/google.protobuf.Empty"
       }
     }
   

Python

詳情請參閱 Document AI Python API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

from google.api_core.client_options import ClientOptions
from google.api_core.exceptions import NotFound
from google.cloud import documentai  # type: ignore

# TODO(developer): Uncomment these variables before running the sample.
# project_id = 'YOUR_PROJECT_ID'
# location = 'YOUR_PROCESSOR_LOCATION' # Format is 'us' or 'eu'
# processor_id = 'YOUR_PROCESSOR_ID'


def delete_processor_sample(project_id: str, location: str, processor_id: str) -> None:
    # You must set the api_endpoint if you use a location other than 'us'.
    opts = ClientOptions(api_endpoint=f"{location}-documentai.googleapis.com")

    client = documentai.DocumentProcessorServiceClient(client_options=opts)

    # The full resource name of the processor
    # e.g.: projects/project_id/locations/location/processors/processor_id
    processor_name = client.processor_path(project_id, location, processor_id)

    # Delete a processor
    try:
        operation = client.delete_processor(name=processor_name)
        # Print operation details
        print(operation.operation.name)
        # Wait for operation to complete
        operation.result()
    except NotFound as e:
        print(e.message)

Go

詳情請參閱 Document AI Go API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

package main

import (
	"context"

	documentai "cloud.google.com/go/documentai/apiv1"
	documentaipb "cloud.google.com/go/documentai/apiv1/documentaipb"
)

func main() {
	ctx := context.Background()
	// This snippet has been automatically generated and should be regarded as a code template only.
	// It will require modifications to work:
	// - It may require correct/in-range values for request initialization.
	// - It may require specifying regional endpoints when creating the service client as shown in:
	//   https://pkg.go.dev/cloud.google.com/go#hdr-Client_Options
	c, err := documentai.NewDocumentProcessorClient(ctx)
	if err != nil {
		// TODO: Handle error.
	}
	defer c.Close()

	req := &documentaipb.DeleteProcessorRequest{
		// TODO: Fill request struct fields.
		// See https://pkg.go.dev/cloud.google.com/go/documentai/apiv1/documentaipb#DeleteProcessorRequest.
	}
	op, err := c.DeleteProcessor(ctx, req)
	if err != nil {
		// TODO: Handle error.
	}

	err = op.Wait(ctx)
	if err != nil {
		// TODO: Handle error.
	}
}

Java

詳情請參閱 Document AI Java API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

import com.google.cloud.documentai.v1.DeleteProcessorRequest;
import com.google.cloud.documentai.v1.DocumentProcessorServiceClient;
import com.google.cloud.documentai.v1.ProcessorName;
import com.google.protobuf.Empty;

public class SyncDeleteProcessor {

  public static void main(String[] args) throws Exception {
    syncDeleteProcessor();
  }

  public static void syncDeleteProcessor() throws Exception {
    // This snippet has been automatically generated and should be regarded as a code template only.
    // It will require modifications to work:
    // - It may require correct/in-range values for request initialization.
    // - It may require specifying regional endpoints when creating the service client as shown in
    // https://cloud.google.com/java/docs/setup#configure_endpoints_for_the_client_library
    try (DocumentProcessorServiceClient documentProcessorServiceClient =
        DocumentProcessorServiceClient.create()) {
      DeleteProcessorRequest request =
          DeleteProcessorRequest.newBuilder()
              .setName(ProcessorName.of("[PROJECT]", "[LOCATION]", "[PROCESSOR]").toString())
              .build();
      documentProcessorServiceClient.deleteProcessorAsync(request).get();
    }
  }
}

Ruby

詳情請參閱 Document AI Ruby API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

require "google/cloud/document_ai/v1"

##
# Snippet for the delete_processor call in the DocumentProcessorService service
#
# This snippet has been automatically generated and should be regarded as a code
# template only. It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in https://cloud.google.com/ruby/docs/reference.
#
# This is an auto-generated example demonstrating basic usage of
# Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client#delete_processor.
#
def delete_processor
  # Create a client object. The client can be reused for multiple calls.
  client = Google::Cloud::DocumentAI::V1::DocumentProcessorService::Client.new

  # Create a request. To set request fields, pass in keyword arguments.
  request = Google::Cloud::DocumentAI::V1::DeleteProcessorRequest.new

  # Call the delete_processor method.
  result = client.delete_processor request

  # The returned object is of type Gapic::Operation. You can use it to
  # check the status of an operation, cancel it, or wait for results.
  # Here is how to wait for a response.
  result.wait_until_done! timeout: 60
  if result.response?
    p result.response
  else
    puts "No response received."
  end
end

C#

詳情請參閱 Document AI C# API 參考說明文件。

如要向 Document AI 進行驗證，請設定應用程式預設憑證。 詳情請參閱「為本機開發環境設定驗證」。

using Google.Cloud.DocumentAI.V1;
using Google.LongRunning;
using Google.Protobuf.WellKnownTypes;

public sealed partial class GeneratedDocumentProcessorServiceClientSnippets
{
    /// <summary>Snippet for DeleteProcessor</summary>
    /// <remarks>
    /// This snippet has been automatically generated and should be regarded as a code template only.
    /// It will require modifications to work:
    /// - It may require correct/in-range values for request initialization.
    /// - It may require specifying regional endpoints when creating the service client as shown in
    ///   https://cloud.google.com/dotnet/docs/reference/help/client-configuration#endpoint.
    /// </remarks>
    public void DeleteProcessorRequestObject()
    {
        // Create client
        DocumentProcessorServiceClient documentProcessorServiceClient = DocumentProcessorServiceClient.Create();
        // Initialize request argument(s)
        DeleteProcessorRequest request = new DeleteProcessorRequest
        {
            ProcessorName = ProcessorName.FromProjectLocationProcessor("[PROJECT]", "[LOCATION]", "[PROCESSOR]"),
        };
        // Make the request
        Operation<Empty, DeleteProcessorMetadata> response = documentProcessorServiceClient.DeleteProcessor(request);

        // Poll until the returned long-running operation is complete
        Operation<Empty, DeleteProcessorMetadata> completedResponse = response.PollUntilCompleted();
        // Retrieve the operation result
        Empty result = completedResponse.Result;

        // Or get the name of the operation
        string operationName = response.Name;
        // This name can be stored, then the long-running operation retrieved later by name
        Operation<Empty, DeleteProcessorMetadata> retrievedResponse = documentProcessorServiceClient.PollOnceDeleteProcessor(operationName);
        // Check if the retrieved long-running operation has completed
        if (retrievedResponse.IsCompleted)
        {
            // If it has completed, then access the result
            Empty retrievedResult = retrievedResponse.Result;
        }
    }
}